Professional Services Consultant Jobs in New York
Professional Services Consultant jobs in New York represent one of the most active markets in the country, concentrated in management consulting, financial advisory, technology implementation, and enterprise software services, with openings at every level from analyst-track associates through senior principals. The heaviest hiring runs through New York City, with secondary demand in Albany and Buffalo from government-adjacent and regional enterprise clients. Large, established employers with deep footprints here include Deloitte, IBM, and Accenture, all of which staff substantial professional services practices across the state. Find a role that fits below and apply directly.
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Showing 4 of 11+ Professional Services Consultant jobs
DESCRIPTION
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology?
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Leading project teams and implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring
2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies
This is a customer-facing role with potential travel to customer sites as needed.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 7+ years of consulting, design and implementation of serverless distributed solutions experience
- 5+ years of software development with object oriented language experience
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 7+ years of external or internal customer facing, complex and large scale project management experience
- 5+ years of cloud architecture and solution implementation experience
- Bachelor's degree, or 7+ years of professional or military experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with experience in building and deploying ML models on cloud (e.g., Amazon SageMaker or similar)
PREFERRED QUALIFICATIONS
- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience in performance optimization and cost management for cloud environments
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually
USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
DESCRIPTION
Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology?
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the ML project lifecycle. You will lead customer-focused project teams as a technical leader, and perform hands-on development of ML solutions with exceptional quality
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Leading project teams and implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring
2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
4. Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models
5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies
This is a customer-facing role with potential travel to customer sites as needed.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 7+ years of consulting, design and implementation of serverless distributed solutions experience
- 5+ years of software development with object oriented language experience
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 7+ years of external or internal customer facing, complex and large scale project management experience
- 5+ years of cloud architecture and solution implementation experience
- Bachelor's degree, or 7+ years of professional or military experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with understanding of distributed computing (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with experience in building and deploying ML models on cloud (e.g., Amazon SageMaker or similar)
PREFERRED QUALIFICATIONS
- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience in performance optimization and cost management for cloud environments
- Experience communicating technical concepts to diverse audiences in pre-sales environments
- Experience with automation (e.g., Terraform, Python), Infrastructure as Code (e.g., CloudFormation, CDK), and Containers & CI/CD Pipelines
- Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed & GPU training, deployment, monitoring, and retraining
- Experience with MLOps (e.g., MLFlow, Kubeflow) and orchestration (e.g., Airflow, AWS Step Functions). Experience building applications using GenAI technologies (LLMs, Vector Stores, LangChain, Prompt Engineering)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually
USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually
USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually
USA, NJ, Jersey City - 169,000.00 - 228,600.00 USD annually
USA, NY, New York - 169,000.00 - 228,600.00 USD annually
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually
USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually
See All 11 Professional Services Consultant Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find JobsProfessional Services Consultant Jobs by City in New York
Where New York roles are concentrated, by current openings.
Professional Services Consultant Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Distribution & Wholesale
- Banking & Financial Services
What New York Employers Look For
The qualifications that appear most often in professional services consultant jobs across New York.
- Bachelor's degree in business, information systems, finance, or a related field required
- Three or more years of client-facing consulting or advisory experience preferred
- Demonstrated experience managing project delivery across multiple concurrent engagements
- Strong proficiency in CRM, ERP, or enterprise platform tools such as Salesforce or SAP
- Excellent written and verbal communication skills for executive-level client presentations
- Ability to travel to client sites across the New York metro region as needed
Professional Services Consultant Jobs in New York: Frequently Asked Questions
How do you become a professional services consultant in New York?
Most professional services consultant roles in New York require a bachelor's degree in business, management information systems, finance, or a closely related field, with no state-issued license mandated for the generalist role itself. New York employers typically look for candidates who have completed a structured internship or rotational analyst program, and certifications such as PMP, Salesforce Administrator, or SAP credentials carry significant weight with major firms operating across the state.
How much do professional services consultants make in New York?
Professional services consultants in New York earn a median of about $112,250 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,900 for the lowest 10% to over $209,440 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire professional services consultants in New York?
Employers hiring professional services consultants in New York right now include Amazon Web Services, Gong, and KONG, based on current listings on Migrate Mate as of August 2026. New York's concentration of global financial institutions, multinational headquarters, and large public-sector agencies means demand is consistent across both private-sector and government-contracted consulting engagements.
Which New York cities have the most professional services consultant jobs?
New York and Albany account for the most professional services consultant openings in New York. New York City dominates due to its density of corporate headquarters, financial services firms, and management consulting offices, while Albany generates demand through state government technology and advisory contracts, and Buffalo has grown as regional banks and healthcare systems there expand their enterprise consulting needs.
Are there remote professional services consultant jobs in New York?
Yes, and more than many client-facing roles, particularly for project management, business analysis, and platform implementation work that does not require on-site presence. About 50% of professional services consultant openings tied to New York are remote or hybrid as of August 2026, reflecting how much of this work moved to distributed delivery models. The portions most likely to remain fully on-site are those requiring executive stakeholder workshops or hands-on system deployment at a client's New York location.
How can I get hired as a professional services consultant in New York with little or no experience?
The most realistic entry path is through an analyst or associate program at one of the large consulting or technology services firms with New York offices, where Deloitte, Accenture, and IBM regularly recruit new graduates into structured cohort programs. Candidates who move laterally from project coordinator, business analyst, or operations specialist roles at New York financial or healthcare organizations are also common, and earning a platform certification such as Salesforce Administrator before applying gives early-career candidates a concrete and verifiable edge.
Where can I find and apply to professional services consultant jobs in New York?
You can find and apply to professional services consultant jobs in New York on Migrate Mate, which lists current openings from employers hiring across the state right now. Search the listings for roles that match your experience and specialty area, then apply directly to the ones that fit.
See All 11 Professional Services Consultant Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
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